Hackjoon Shim

发表

Tracking of Cerebral Arterial Segment by Particle Filtering in CT Angiography

Sang Uk Lee, Il Dong Yun, Dongjin Kwon, 2007 .

Automatic bone registration in MR knee images for cartilage morphological analysis

Kyongtae Ty Bae, Helen Hong, Ji Hyun Yoo, 2009, Medical Imaging.

Geodesic Distance Algorithm for Extracting the Ascending Aorta from 3D CT Images

Ho Yub Jung, Yeonggul Jang, Youngtaek Hong, 2016, Comput. Math. Methods Medicine.

Fully Automatic Segmentation of Coronary Arteries Based on Deep Neural Network in Intravascular Ultrasound Images

Yeonggul Jang, Youngtaek Hong, Hackjoon Shim, 2018, CVII-STENT/LABELS@MICCAI.

Tracking of mitochondrial transports using a particle filtering method with a spatial constraint

Yoojin Chung, Hackjoon Shim, Sungmin Hong, 2011 .

Simultaneous 3D segmentation of three bone compartments on high resolution knee MR images from osteoarthritis initiative (OAI) using graph cuts

Kyongtae Ty Bae, Sang Uk Lee, Il Dong Yun, 2009, Medical Imaging.

Identification of coronary arteries in CT images by Bayesian analysis of geometric relations among anatomical landmarks

Yeonggul Jang, Hackjoon Shim, Hyuk-Jae Chang, 2019, Pattern Recognit..

Full Quantification of Left Ventricle Using Deep Multitask Network with Combination of 2D and 3D Convolution on 2D + t Cine MRI

Yeonggul Jang, Hackjoon Shim, Hyuk-Jae Chang, 2018, STACOM@MICCAI.

A fast seed detection using local geometrical feature for automatic tracking of coronary arteries in CTA

Dongjin Han, Youngtaek Hong, Hackjoon Shim, 2014, Comput. Methods Programs Biomed..

New Seed Detection by Shape Analysis for Construction of Vascular Structures

Sang Uk Lee, Il Dong Yun, Hackjoon Shim, 2010 .

Coronary luminal and wall mask prediction using convolutional neural network

Yeonggul Jang, Dongjin Han, Seongmin Ha, 2017, 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017).

Partition-Based Extraction of Cerebral Arteries from CT Angiography with Emphasis on Adaptive Tracking

Sang Uk Lee, Il Dong Yun, Kyoung Mu Lee, 2005, IPMI.

Optimization of local shape and appearance probabilities for segmentation of knee cartilage in 3-D MR images

Sang Hyun Park, Sang Uk Lee, Il Dong Yun, 2011, Comput. Vis. Image Underst..

Maximum a posteriori estimation method for aorta localization and coronary seed identification

Yeonggul Jang, Dongjin Han, Seongmin Ha, 2017, Pattern Recognit..

Fully automatic Segmentation of Knee Cartilage on 3D MR images based on Knowledge of Shape and Intensity per Patch

Hackjoon Shim, Il Dong Yun, Sang Uk Lee, 2010 .

Volume-Rendering of Mitochondrial Transports Using VTK

Yeonggul Jang, Yoojin Chung, Hackjoon Shim, 2011, FGIT-ASEA/DRBC/EL.

Automatic Coronary Artery Segmentation Using Active Search for Branches and Seemingly Disconnected Vessel Segments from Coronary CT Angiography

Yeonggul Jang, Hyuk-Jae Chang, Seongmin Ha, 2016, PloS one.

Application of compatible dual‐echo arteriovenography in stroke: Preliminary observations

Kyongtae Ty Bae, Jung-Hwan Kim, Hackjoon Shim, 2013, Int. J. Imaging Syst. Technol..

Robust segmentation of cerebral arterial segments by a sequential Monte Carlo method: Particle filtering

Sang Uk Lee, Il Dong Yun, Dongjin Kwon, 2006, Comput. Methods Programs Biomed..

A Cascaded Two-step Approach For Segmentation of Thoracic Organs

Yeonggul Jang, Hackjoon Shim, Hyuk-Jae Chang, 2019, SegTHOR@ISBI.

Segmentation of ground glass opacities by asymmetric multi-phase deformable model

Sang Uk Lee, Il Dong Yun, Kyung Won Lee, 2006, SPIE Medical Imaging.

Mask-Rendering of Mitochondrial Transports Using VTK

Yeonggul Jang, Yoojin Chung, Hackjoon Shim, 2011, FGIT-DTA/BSBT.

3-D segmentation of articular cartilages by graph cuts using knee MR images from osteoarthritis initiative

Kyongtae Ty Bae, Sang Uk Lee, Il Dong Yun, 2008, SPIE Medical Imaging.

Vessel Tracking Algorithm using Multiple Local Smooth Paths

Yeonggul Jang, Hyung-Bok Park, Dongjin Han, 2016 .

Fully automatic 3-D segmentation of knee bone compartments by iterative local branch-and-mincut on MR images from osteoarthritis initiative (OAI)

Sang Hyun Park, Sang Uk Lee, Il Dong Yun, 2009, 2009 16th IEEE International Conference on Image Processing (ICIP).

Multi-Scale Conditional Generative Adversarial Network for Small-Sized Lung Nodules Using Class Activation Region Influence Maximization

Hackjoon Shim, Hyuk-Jae Chang, Kyeongjin Ann, 2021, IEEE Access.

Bayesian Estimation of Geometric Morphometric Landmarks for Simultaneous Localization of Multiple Anatomies in Cardiac CT Images

Hackjoon Shim, Hyuk-Jae Chang, Byunghwan Jeon, 2021, Entropy.

Quantitative evaluation of k‐space reordering schemes for compatible dual‐echo arteriovenography (CODEA)

Hackjoon Shim, Chan-Hong Moon, Kyongtae Ty Bae, 2010, Magnetic resonance in medicine.

Intensity-vesselness Gaussian mixture model (IVGMM) for 2D + t segmentation of coronary arteries for X-ray angiography image sequences.

Hackjoon Shim, Hyuk-Jae Chang, Hyunna Lee, 2015, Journal of X-ray science and technology.

Learning Local Shape and Appearance for Segmentation of Knee Cartilage in 3 D MRI

Sang Hyun Park, Sang Uk Lee, Il Dong Yun, 2010 .

JPEG2000 2D and 3D reversible compressions of thin-section chest CT images: improving compressibility by increasing data redundancy outside the body region.

Thomas Richter, Il Dong Yun, Bohyoung Kim, 2011, Radiology.

Feasibility of an automatic computer-assisted algorithm for the detection of significant coronary artery disease in patients presenting with acute chest pain.

Hackjoon Shim, Namsik Chung, H. Shim, 2012, European journal of radiology.